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<div class="title">Feature Detection and Description<div class="ingroups"><a class="el" href="../../da/d9b/group__features2d.html">2D Features Framework</a></div></div>  </div>
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Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../da/d0b/classcv_1_1AffineFeature.html">cv::AffineFeature</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in <a class="el" href="../../d0/de3/citelist.html#CITEREF_YM11">[286]</a> .  <a href="../../da/d0b/classcv_1_1AffineFeature.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d19/classcv_1_1AgastFeatureDetector.html">cv::AgastFeatureDetector</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Wrapping class for feature detection using the AGAST method. :  <a href="../../d7/d19/classcv_1_1AgastFeatureDetector.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d8/d30/classcv_1_1AKAZE.html">cv::AKAZE</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing the <a class="el" href="../../d8/d30/classcv_1_1AKAZE.html" title="Class implementing the AKAZE keypoint detector and descriptor extractor, described in ...">AKAZE</a> keypoint detector and descriptor extractor, described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_ANB13">[9]</a>.  <a href="../../d8/d30/classcv_1_1AKAZE.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../de/dbf/classcv_1_1BRISK.html">cv::BRISK</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing the <a class="el" href="../../de/dbf/classcv_1_1BRISK.html" title="Class implementing the BRISK keypoint detector and descriptor extractor, described in  ...">BRISK</a> keypoint detector and descriptor extractor, described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_LCS11">[140]</a> .  <a href="../../de/dbf/classcv_1_1BRISK.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html">cv::FastFeatureDetector</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Wrapping class for feature detection using the FAST method. :  <a href="../../df/d74/classcv_1_1FastFeatureDetector.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../df/d21/classcv_1_1GFTTDetector.html">cv::GFTTDetector</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Wrapping class for feature detection using the goodFeaturesToTrack function. :  <a href="../../df/d21/classcv_1_1GFTTDetector.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d61/classcv_1_1KAZE.html">cv::KAZE</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing the <a class="el" href="../../d3/d61/classcv_1_1KAZE.html" title="Class implementing the KAZE keypoint detector and descriptor extractor, described in  ...">KAZE</a> keypoint detector and descriptor extractor, described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_ABD12">[10]</a> .  <a href="../../d3/d61/classcv_1_1KAZE.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d28/classcv_1_1MSER.html">cv::MSER</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Maximally stable extremal region extractor.  <a href="../../d3/d28/classcv_1_1MSER.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../db/d95/classcv_1_1ORB.html">cv::ORB</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing the <a class="el" href="../../db/d95/classcv_1_1ORB.html" title="Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor. ">ORB</a> (<em>oriented BRIEF</em>) keypoint detector and descriptor extractor.  <a href="../../db/d95/classcv_1_1ORB.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d60/classcv_1_1SIFT.html">cv::SIFT</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (<a class="el" href="../../d7/d60/classcv_1_1SIFT.html" title="Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform ...">SIFT</a>) algorithm by D. Lowe <a class="el" href="../../d0/de3/citelist.html#CITEREF_Lowe04">[154]</a> .  <a href="../../d7/d60/classcv_1_1SIFT.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d0/d7a/classcv_1_1SimpleBlobDetector.html">cv::SimpleBlobDetector</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class for extracting blobs from an image. :  <a href="../../d0/d7a/classcv_1_1SimpleBlobDetector.html#details">More...</a><br /></td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
Typedefs</h2></td></tr>
<tr class="memitem:ga4f0293a04ea11fcea03746edd6781232"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="../../da/d0b/classcv_1_1AffineFeature.html">AffineFeature</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d51/group__features2d__main.html#ga4f0293a04ea11fcea03746edd6781232">cv::AffineDescriptorExtractor</a></td></tr>
<tr class="separator:ga4f0293a04ea11fcea03746edd6781232"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga94d7dadbe8de971eeed19b8fd25e357e"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="../../da/d0b/classcv_1_1AffineFeature.html">AffineFeature</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d51/group__features2d__main.html#ga94d7dadbe8de971eeed19b8fd25e357e">cv::AffineFeatureDetector</a></td></tr>
<tr class="separator:ga94d7dadbe8de971eeed19b8fd25e357e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga89ce54823df44e7be4e43511c1d44553"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="../../d7/d60/classcv_1_1SIFT.html">SIFT</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d51/group__features2d__main.html#ga89ce54823df44e7be4e43511c1d44553">cv::SiftDescriptorExtractor</a></td></tr>
<tr class="separator:ga89ce54823df44e7be4e43511c1d44553"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gab5eeb05ac493f07b9495f5571ca421c7"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="../../d7/d60/classcv_1_1SIFT.html">SIFT</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d51/group__features2d__main.html#gab5eeb05ac493f07b9495f5571ca421c7">cv::SiftFeatureDetector</a></td></tr>
<tr class="separator:gab5eeb05ac493f07b9495f5571ca421c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
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Functions</h2></td></tr>
<tr class="memitem:gaf7e1ba1ae884b59bd24338b741b0c4ac"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d51/group__features2d__main.html#gaf7e1ba1ae884b59bd24338b741b0c4ac">cv::AGAST</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> image, std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;keypoints, int <a class="el" href="../../d7/d1b/group__imgproc__misc.html#gae8a4a146d1ca78c626a53577199e9c57">threshold</a>, bool nonmaxSuppression=true)</td></tr>
<tr class="separator:gaf7e1ba1ae884b59bd24338b741b0c4ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga8a4582d83ebcf097792457df0c1b32f7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d51/group__features2d__main.html#ga8a4582d83ebcf097792457df0c1b32f7">cv::AGAST</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> image, std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;keypoints, int <a class="el" href="../../d7/d1b/group__imgproc__misc.html#gae8a4a146d1ca78c626a53577199e9c57">threshold</a>, bool nonmaxSuppression, <a class="el" href="../../d7/d19/classcv_1_1AgastFeatureDetector.html#ae9a22560b2cc9c99b3a3de82ac4af7d3">AgastFeatureDetector::DetectorType</a> type)</td></tr>
<tr class="memdesc:ga8a4582d83ebcf097792457df0c1b32f7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Detects corners using the AGAST algorithm.  <a href="../../d5/d51/group__features2d__main.html#ga8a4582d83ebcf097792457df0c1b32f7">More...</a><br /></td></tr>
<tr class="separator:ga8a4582d83ebcf097792457df0c1b32f7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga816d870cbdca71c6790c71bdf17df099"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d51/group__features2d__main.html#ga816d870cbdca71c6790c71bdf17df099">cv::FAST</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> image, std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;keypoints, int <a class="el" href="../../d7/d1b/group__imgproc__misc.html#gae8a4a146d1ca78c626a53577199e9c57">threshold</a>, bool nonmaxSuppression=true)</td></tr>
<tr class="separator:ga816d870cbdca71c6790c71bdf17df099"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gac5d69c45d39e178336589c96133574d3"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d5/d51/group__features2d__main.html#gac5d69c45d39e178336589c96133574d3">cv::FAST</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> image, std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;keypoints, int <a class="el" href="../../d7/d1b/group__imgproc__misc.html#gae8a4a146d1ca78c626a53577199e9c57">threshold</a>, bool nonmaxSuppression, <a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08">FastFeatureDetector::DetectorType</a> type)</td></tr>
<tr class="memdesc:gac5d69c45d39e178336589c96133574d3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Detects corners using the FAST algorithm.  <a href="../../d5/d51/group__features2d__main.html#gac5d69c45d39e178336589c96133574d3">More...</a><br /></td></tr>
<tr class="separator:gac5d69c45d39e178336589c96133574d3"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<h2 class="groupheader">Typedef Documentation</h2>
<a id="ga4f0293a04ea11fcea03746edd6781232"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga4f0293a04ea11fcea03746edd6781232">&#9670;&nbsp;</a></span>AffineDescriptorExtractor</h2>

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          <td class="memname">typedef <a class="el" href="../../da/d0b/classcv_1_1AffineFeature.html">AffineFeature</a> <a class="el" href="../../d5/d51/group__features2d__main.html#ga4f0293a04ea11fcea03746edd6781232">cv::AffineDescriptorExtractor</a></td>
        </tr>
      </table>
</div><div class="memdoc">

<p><code>#include &lt;<a class="el" href="../../d5/d0d/features2d_8hpp.html">opencv2/features2d.hpp</a>&gt;</code></p>

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</div>
<a id="ga94d7dadbe8de971eeed19b8fd25e357e"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga94d7dadbe8de971eeed19b8fd25e357e">&#9670;&nbsp;</a></span>AffineFeatureDetector</h2>

<div class="memitem">
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        <tr>
          <td class="memname">typedef <a class="el" href="../../da/d0b/classcv_1_1AffineFeature.html">AffineFeature</a> <a class="el" href="../../d5/d51/group__features2d__main.html#ga94d7dadbe8de971eeed19b8fd25e357e">cv::AffineFeatureDetector</a></td>
        </tr>
      </table>
</div><div class="memdoc">

<p><code>#include &lt;<a class="el" href="../../d5/d0d/features2d_8hpp.html">opencv2/features2d.hpp</a>&gt;</code></p>

</div>
</div>
<a id="ga89ce54823df44e7be4e43511c1d44553"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga89ce54823df44e7be4e43511c1d44553">&#9670;&nbsp;</a></span>SiftDescriptorExtractor</h2>

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          <td class="memname">typedef <a class="el" href="../../d7/d60/classcv_1_1SIFT.html">SIFT</a> <a class="el" href="../../d5/d51/group__features2d__main.html#ga89ce54823df44e7be4e43511c1d44553">cv::SiftDescriptorExtractor</a></td>
        </tr>
      </table>
</div><div class="memdoc">

<p><code>#include &lt;<a class="el" href="../../d5/d0d/features2d_8hpp.html">opencv2/features2d.hpp</a>&gt;</code></p>

</div>
</div>
<a id="gab5eeb05ac493f07b9495f5571ca421c7"></a>
<h2 class="memtitle"><span class="permalink"><a href="#gab5eeb05ac493f07b9495f5571ca421c7">&#9670;&nbsp;</a></span>SiftFeatureDetector</h2>

<div class="memitem">
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        <tr>
          <td class="memname">typedef <a class="el" href="../../d7/d60/classcv_1_1SIFT.html">SIFT</a> <a class="el" href="../../d5/d51/group__features2d__main.html#gab5eeb05ac493f07b9495f5571ca421c7">cv::SiftFeatureDetector</a></td>
        </tr>
      </table>
</div><div class="memdoc">

<p><code>#include &lt;<a class="el" href="../../d5/d0d/features2d_8hpp.html">opencv2/features2d.hpp</a>&gt;</code></p>

</div>
</div>
<h2 class="groupheader">Function Documentation</h2>
<a id="gaf7e1ba1ae884b59bd24338b741b0c4ac"></a>
<h2 class="memtitle"><span class="permalink"><a href="#gaf7e1ba1ae884b59bd24338b741b0c4ac">&#9670;&nbsp;</a></span>AGAST() <span class="overload">[1/2]</span></h2>

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          <td class="memname">void cv::AGAST </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a>&#160;</td>
          <td class="paramname"><em>image</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;&#160;</td>
          <td class="paramname"><em>keypoints</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>threshold</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">bool&#160;</td>
          <td class="paramname"><em>nonmaxSuppression</em> = <code>true</code>&#160;</td>
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        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
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<p><code>#include &lt;<a class="el" href="../../d5/d0d/features2d_8hpp.html">opencv2/features2d.hpp</a>&gt;</code></p>
<p>This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#ga8a4582d83ebcf097792457df0c1b32f7">&#9670;&nbsp;</a></span>AGAST() <span class="overload">[2/2]</span></h2>

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          <td class="memname">void cv::AGAST </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a>&#160;</td>
          <td class="paramname"><em>image</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;&#160;</td>
          <td class="paramname"><em>keypoints</em>, </td>
        </tr>
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          <td class="paramkey"></td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>threshold</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">bool&#160;</td>
          <td class="paramname"><em>nonmaxSuppression</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d7/d19/classcv_1_1AgastFeatureDetector.html#ae9a22560b2cc9c99b3a3de82ac4af7d3">AgastFeatureDetector::DetectorType</a>&#160;</td>
          <td class="paramname"><em>type</em>&#160;</td>
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          <td>)</td>
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<p><code>#include &lt;<a class="el" href="../../d5/d0d/features2d_8hpp.html">opencv2/features2d.hpp</a>&gt;</code></p>

<p>Detects corners using the AGAST algorithm. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">image</td><td>grayscale image where keypoints (corners) are detected. </td></tr>
    <tr><td class="paramname">keypoints</td><td>keypoints detected on the image. </td></tr>
    <tr><td class="paramname">threshold</td><td>threshold on difference between intensity of the central pixel and pixels of a circle around this pixel. </td></tr>
    <tr><td class="paramname">nonmaxSuppression</td><td>if true, non-maximum suppression is applied to detected corners (keypoints). </td></tr>
    <tr><td class="paramname">type</td><td>one of the four neighborhoods as defined in the paper: <a class="el" href="../../d7/d19/classcv_1_1AgastFeatureDetector.html#ae9a22560b2cc9c99b3a3de82ac4af7d3a869159c4b4ad44e678903b55def5dff9">AgastFeatureDetector::AGAST_5_8</a>, <a class="el" href="../../d7/d19/classcv_1_1AgastFeatureDetector.html#ae9a22560b2cc9c99b3a3de82ac4af7d3a0a21d49a821004ebc1f39e2e471ba814">AgastFeatureDetector::AGAST_7_12d</a>, <a class="el" href="../../d7/d19/classcv_1_1AgastFeatureDetector.html#ae9a22560b2cc9c99b3a3de82ac4af7d3a37001a3a3ce04301e16a4e16732e4105">AgastFeatureDetector::AGAST_7_12s</a>, <a class="el" href="../../d7/d19/classcv_1_1AgastFeatureDetector.html#ae9a22560b2cc9c99b3a3de82ac4af7d3a845a73eb152969fd46ef6b952856e82d">AgastFeatureDetector::OAST_9_16</a></td></tr>
  </table>
  </dd>
</dl>
<p>For non-Intel platforms, there is a tree optimised variant of AGAST with same numerical results. The 32-bit binary tree tables were generated automatically from original code using perl script. The perl script and examples of tree generation are placed in features2d/doc folder. Detects corners using the AGAST algorithm by <a class="el" href="../../d0/de3/citelist.html#CITEREF_mair2010_agast">[160]</a> . </p>

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<h2 class="memtitle"><span class="permalink"><a href="#ga816d870cbdca71c6790c71bdf17df099">&#9670;&nbsp;</a></span>FAST() <span class="overload">[1/2]</span></h2>

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          <td class="memname">void cv::FAST </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a>&#160;</td>
          <td class="paramname"><em>image</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;&#160;</td>
          <td class="paramname"><em>keypoints</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>threshold</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">bool&#160;</td>
          <td class="paramname"><em>nonmaxSuppression</em> = <code>true</code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
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<p><code>#include &lt;<a class="el" href="../../d5/d0d/features2d_8hpp.html">opencv2/features2d.hpp</a>&gt;</code></p>
<p>This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#gac5d69c45d39e178336589c96133574d3">&#9670;&nbsp;</a></span>FAST() <span class="overload">[2/2]</span></h2>

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          <td class="memname">void cv::FAST </td>
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          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a>&#160;</td>
          <td class="paramname"><em>image</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;&#160;</td>
          <td class="paramname"><em>keypoints</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>threshold</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">bool&#160;</td>
          <td class="paramname"><em>nonmaxSuppression</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08">FastFeatureDetector::DetectorType</a>&#160;</td>
          <td class="paramname"><em>type</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<p><code>#include &lt;<a class="el" href="../../d5/d0d/features2d_8hpp.html">opencv2/features2d.hpp</a>&gt;</code></p>

<p>Detects corners using the FAST algorithm. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">image</td><td>grayscale image where keypoints (corners) are detected. </td></tr>
    <tr><td class="paramname">keypoints</td><td>keypoints detected on the image. </td></tr>
    <tr><td class="paramname">threshold</td><td>threshold on difference between intensity of the central pixel and pixels of a circle around this pixel. </td></tr>
    <tr><td class="paramname">nonmaxSuppression</td><td>if true, non-maximum suppression is applied to detected corners (keypoints). </td></tr>
    <tr><td class="paramname">type</td><td>one of the three neighborhoods as defined in the paper: <a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08a7a1af523673c330d43ec47081bcc55e3">FastFeatureDetector::TYPE_9_16</a>, <a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08af4be71a038c46401a0b431fcc994900d">FastFeatureDetector::TYPE_7_12</a>, <a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08a16aa140499fc16449dfae5f095dc475c">FastFeatureDetector::TYPE_5_8</a></td></tr>
  </table>
  </dd>
</dl>
<p>Detects corners using the FAST algorithm by <a class="el" href="../../d0/de3/citelist.html#CITEREF_Rosten06">[206]</a> .</p>
<dl class="section note"><dt>Note</dt><dd>In Python API, types are given as cv.FAST_FEATURE_DETECTOR_TYPE_5_8, cv.FAST_FEATURE_DETECTOR_TYPE_7_12 and cv.FAST_FEATURE_DETECTOR_TYPE_9_16. For corner detection, use cv.FAST.detect() method. </dd></dl>

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